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Last updated on October 5, 2026

Accelr8: An AI-Enabled Framework for Faster Migrations and Modern Data Platform Builds

By Simon Collis

Every data migration or modernization is different. But that doesn’t mean every project should start from scratch.

After more than 20 years of building and modernizing data platforms, we’ve seen where teams lose time: understanding legacy environments, translating existing logic, rebuilding foundational components, validating results, and documenting what was built. Much of this work is critical, but it’s also highly repeatable.

Accelr8 was built to change that. It puts more than 20 years of Analytics8 experience to work through AI-enabled automation, reusable assets, and proven patterns- helping organizations migrate, modernize, and build data platforms faster and with less risk.

In this article, we’ll explain what Accelr8 is, how it works, and how it helps organizations move to modern data platforms faster, with greater consistency and less risk.

Colorful hexagonal logo for the Breakthrough Award 2026 with the subtitle Data Management Innovation Award.

Winner of 2026 AI Breakthrough Awards Program

Accelr8, has been selected as winner of the “Data Management Innovation Award” in the 9ᵗʰ annual AI Breakthrough Awards program conducted by AI Breakthrough

Table of Contents:

What is Accelr8?

Accelr8 is our AI-enabled framework for data migrations, modernizations, and lakehouse and data warehouse builds.

Rather than starting each project from a blank slate, our teams use Accelr8 to apply the code, patterns, standards, templates, and lessons we’ve developed across decades of client work. AI and automation help us apply those assets faster, while experienced consultants remain responsible for the decisions and outcomes.

Accelr8 is platform agnostic and can be used across Databricks, Snowflake, dbt, BigQuery, and other modern data technologies. Our Intelligence Hub includes reusable assets, patterns, and best practices across these technologies, allowing us to apply Accelr8 to a wide range of migration, modernization, and build scenarios.


20 years of experience + Expert oversight + AI-enabled automation + Reusable assets = Faster, more consistent migrations and modern platform builds


How does Accelr8 Work?

Accelr8 brings together AI-enabled automation, reusable code and assets, proven patterns, and practitioner oversight to accelerate the repeatable, time-consuming work involved in migrations and modern data platform builds.

Our Accelr8 Intelligence Hub captures the playbooks, code libraries, reference architectures, standards, templates, and patterns we have developed through more than 20 years of client work. AI agents and automation help apply those assets to tasks such as analyzing legacy code, mapping dependencies, generating pipelines and transformations, creating infrastructure as code, testing outputs, and producing documentation.

Our experienced consultants direct the process, determine which approaches and assets apply to each environment, and validate the outputs. The result is a faster, more consistent approach without treating every migration or build as if it were the first.

Diagram of an Orchestrated Agent System with Discovery, Migration, Engineering, and Analytics agents, Delivery Accelerators, and a Client Data Platform featuring Databricks, ThoughtSpot, and dbt logos.
Rather than relying on manual coordination and one-off approaches, Accelr8 ensures more consistent execution, lower delivery risk, and faster progress without sacrificing quality or control.

What Are the Specific Accelr8 Use Cases?

Accelr8 is designed for migrations, modernizations, and modern data platform builds where technical complexity and repeatable work can slow teams down.

Platform Modernizations and Migrations

Platform migrations are often slowed by the complexity of understanding and translating the existing environment. Business logic can live across thousands of legacy SQL views, stored procedures, ETL jobs, pipelines, and BI scripts. Understanding and translating that logic manually can turn into a multi-quarter effort with plenty of room for error.

How Accelr8 helps: Accelr8 parses legacy code, extracts the embedded logic, and converts it into modern equivalents such as dbt models, standard SQL, or governed semantic definitions. It follows our migration playbooks and code standards, then supports automated testing to help confirm that migrated logic produces the expected results.

What you gain: You can move through migration work faster, with more confidence that business logic has been preserved and validated. You also get a repeatable pattern your team can continue using after the first wave of work is complete.

EMC Insurance used Accelr8 to support its move from SQL-based views to dbt, converting existing code into dbt models and completing in 4 weeks a migration that had been estimated at 3,000–4,000 hours.

In another example, Miniat, an AI-assisted conversion of legacy QlikView scripts to a modern data platform compressed what is typically 4–8 weeks of manual analysis and rewrite into days, with consultant review throughout.

Data Warehouse and Lakehouse Builds

New data warehouse and lakehouse builds require extensive foundational setup: environment configuration, ingestion patterns, modeling standards, testing, CI/CD, and documentation. Those critical decisions shape performance and whether the platform can scale.

How Accelr8 helps: Accelr8 applies the reference architectures, setup standards, and code templates in our Intelligence Hub to generate pipelines, transformation models, configuration, tests, and documentation. Built-in quality controls help ensure standards are applied consistently across the work.

What you gain: You stand up your platform faster—with stronger documentation, better test coverage, and a foundation built from proven patterns rather than one-off decisions.

HelloPrenup used Accelr8 to build a Databricks lakehouse from scratch, including a medallion architecture to support marketing attribution and funnel analytics. Work that would have normally taken months was completed in four weeks.

How Does Accelr8 Benefit Our Clients?

Less manual work. Faster execution. Lower risk.

By automating repeatable tasks and applying proven patterns from the start, Accelr8 helps teams spend less time recreating work that has already been solved and more time addressing the challenges unique to their environment.

  • Faster time to value. Accelr8 compresses repeatable work across discovery, conversion, build, testing, and documentation so you can move from a legacy environment to a modern platform faster.
  • Reduced migration and implementation risk. Accelr8 reduces the manual effort and variability that can introduce errors into complex migrations and builds. Automated validation also helps catch issues that limited sampling may miss.
  • Greater consistency. Common standards, patterns, and quality controls help ensure that what you build in the first workload or migration wave can be repeated as you scale.
  • Experienced practitioners remain accountable for the outcome. Accelr8 accelerates the work, but our consultants make the architectural decisions and review and validate what moves forward. You get the speed of AI and automation backed by people who have spent years doing this work..

Stop starting from scratch.

Your next migration or data platform build should benefit from everything we’ve learned from the ones that came before it. Accler8 combines that experience with AI and automation to help you get to a modern data platform faster, with less manual effort and risk.

Talk With a Data Analytics Expert

Key Takeaways

  • Accelr8 is Analytics8’s AI-enabled framework for data migrations, modernizations, and lakehouse and data warehouse builds.
  • It puts more than 20 years of Analytics8 experience to work through proven patterns, reusable assets, code libraries, templates, standards, and AI-enabled automation housed in Analytics8’s Intelligence Hub.
  • Accelr8 accelerates repeatable work across the migration and build lifecycle- from analyzing legacy environments and converting code through building, testing, validation, and documentation.
  • Accelr8 is platform-agnostic and can support modern data environments across Databricks, Snowflake, dbt, BigQuery, etc.
  • Experienced Analytics8 consultants remain in control of architectural decisions and validate the work throughout the engagement.

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